Florent GBELIDJI
London, England, United Kingdom
Summary
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RockstarFlorent Gbelidji is an applied AI and open-source strategy lead with five years of hands-on experience building ML products and developer ecosystems from Paris. He has progressed through technical and partnership leadership roles at Hugging Face and now leads open-source strategy at Reflection AI, combining deep engineering with ecosystem-building. His contributions to notable open-source projects include enabling multilabel few-shot learning in Hugging Face’s popular SetFit repo, reflecting a focus on practical, production-ready ML tooling. Trained in electrical engineering and computational mathematics at CentraleSupélec and Université Paris Cité, he bridges rigorous research with applied deployment, especially around transformer-based models. Colleagues know him for translating complex ML research into usable pipelines and for mentoring engineers and students in production-focused transformer applications.
6 years of coding experience
Github Skills (7)
scikit-learn10
machine-learning10
nlp10
sentence-transformers10
python10
natural-language-processing10
scikit10
Programming languages (6)
Github contributions (5)
huggingface/setfit
Aug 2022 - Sep 2022
Efficient few-shot learning with Sentence Transformers
Role in this project:
ML Engineer
ML EngineerContributions:17 commits in 1 month
Contributions summary:Florent primarily contributed to the implementation of multilabel classification support within the SetFit framework. This involved developing new functions for generating sentence pairs for multilabel cases, creating few-shot splits specifically tailored for multilabel datasets, and loading these dataset splits. They also added and modified code for the SetFit training pipeline to accommodate multilabel classification.
few-shot-learningsentence-transformersnlp
fgbelidji/llm-hosting-container
Jan 2025 - Nov 2025
Large Language Model Hosting Container
Contributions:1 PR, 52 pushes, 11 branches in 9 months
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